Abstract: A system includes intracranial electrodes embedded into a cranium, a deep brain stimulation system embedded into the cranium, a brain implantable device embedded into the cranium, and a pulse generator, the deep brain stimulation system and the brain implantable device linked to the intracranial electrodes and to the pulse generator.

Abstract: A system includes intracranial electrodes embedded into a cranium, a deep brain stimulation system embedded into the cranium, a brain implantable device embedded into the cranium, and a pulse generator, the deep brain stimulation system and the brain implantable device linked to the intracranial electrodes and to the pulse generator.

Abstract: A method includes engaging Parkinson's Disease (PD) subjects in a continuous motor performance task that elicits natural motor variability, quantifying natural motor variability of each PD subject with an array of motor metrics at short timescales, applying a machine-learning classification or regression algorithm to determine weights for each of these metrics to maximally differentiate each patient's motor performance from that of controls performing the same task, and combining the weights to determine a scalar metric of motor performance for each short epoch of motor behavior.